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Machine Learning Hybridization and Optimization for Intelligent Applications
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Overview
This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
This item is Non-Returnable
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Details
- ISBN-13: 9781032737645
- ISBN-10: 1032737646
- Publisher: CRC Press
- Publish Date: June 2026
- Dimensions: 9.21 x 6.14 x 0.76 inches
- Shipping Weight: 1.13 pounds
- Page Count: 338
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